Senior Level AI Architect Jobs
Senior level ai architect jobs place experienced professionals in charge of enterprise AI strategy, platform architecture, and the cross-functional teams that build and deploy production systems at scale. Roles are concentrated across Technology & Software, Consulting & Professional Services, and Electronics & Hardware, with a mix of on-site, remote, and hybrid settings, and employers like Boston Consulting, Gusto, and Capgemini hiring at this level now.
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Showing 5 of 131+ Senior Level AI Architect jobs
Position: Sr Data & AI Architect
Location: Auburn Hills, MI - 48326 (3-Days Onsite)
Duration: 4+ Months Contract
Note: Only Locals
Job Description:
Senior Data & AI Solutions Architect
• Define end-to-end architecture for AI-powered data solutions, including intelligent agents, automation workflows, and multi-agent ecosystems across enterprise platforms.
• Define collaboration frameworks supporting sequential, parallel, event-driven, conditional, and human-in-the-loop interactions.
• Translate business requirements and operational workflows into scalable data and AI solutions, integration, security, deployment, and operational architectures.
• Provide technical leadership across Architecture, Engineering, Security, Data, and Operations teams, establishing standards, governance frameworks, and reusable patterns.
• Define security architecture — authentication, authorization, identity propagation, and governance controls across all interaction layers.
• Establish responsible AI guardrails covering data privacy, prompt security, model safety, compliance, and human approval workflows.
• Define enterprise data architecture, integration strategies, canonical data models, API standards, and knowledge management frameworks.
• Define RAG or comparable approaches enabling secure access to structured and unstructured enterprise data.
• Drive data privacy, integration, and management practices for seamless, governed accessibility across platforms.
Technical Experience
• 10+ years in Solution, Enterprise, Cloud, or Data Integration Architecture.
• Strong cloud architecture experience (AWS/Azure/GCP) and experience integrating enterprise platforms (CRM, ERP, ITSM, or similar).
• Experience with data structures, enterprise tools, cloud hyperscalers and platforms leveraging AI for data management and governance.
• Strong understanding of Agentic AI, Conversational AI, Generative AI, and multi-agent architectures.
• Deep knowledge of APIs, event-driven architecture, identity protocols, canonical data models, security, and observability.
• Ability to translate business objectives into scalable technical architecture and implementation roadmaps.
• Strong stakeholder management, documentation, and executive communication skills.
• Experience in Effective Application Development Project Implementation / Deployment strategies with a customer base distributed throughout the world.
• Experience in highly parallel work environments with projects utilizing iterative, agile, and waterfall approaches to achieve their objectives.
• Experience in both business transformation and information technology projects is required.
Unique Skills
• Technical knowledge with hands-on experience, managing application development
• Strong verbal and written communications skills, with an ability to express complex technical concepts in business terms
• Strong analytical, problem-solving, and conceptual skills
• Strong interpersonal skills; ability to communicate and persuade at all management levels and thrive in a cross-functional environment
Position: Sr Data & AI Architect
Location: Auburn Hills, MI - 48326 (3-Days Onsite)
Duration: 4+ Months Contract
Note: Only Locals
Job Description:
Senior Data & AI Solutions Architect
• Define end-to-end architecture for AI-powered data solutions, including intelligent agents, automation workflows, and multi-agent ecosystems across enterprise platforms.
• Define collaboration frameworks supporting sequential, parallel, event-driven, conditional, and human-in-the-loop interactions.
• Translate business requirements and operational workflows into scalable data and AI solutions, integration, security, deployment, and operational architectures.
• Provide technical leadership across Architecture, Engineering, Security, Data, and Operations teams, establishing standards, governance frameworks, and reusable patterns.
• Define security architecture — authentication, authorization, identity propagation, and governance controls across all interaction layers.
• Establish responsible AI guardrails covering data privacy, prompt security, model safety, compliance, and human approval workflows.
• Define enterprise data architecture, integration strategies, canonical data models, API standards, and knowledge management frameworks.
• Define RAG or comparable approaches enabling secure access to structured and unstructured enterprise data.
• Drive data privacy, integration, and management practices for seamless, governed accessibility across platforms.
Technical Experience
• 10+ years in Solution, Enterprise, Cloud, or Data Integration Architecture.
• Strong cloud architecture experience (AWS/Azure/GCP) and experience integrating enterprise platforms (CRM, ERP, ITSM, or similar).
• Experience with data structures, enterprise tools, cloud hyperscalers and platforms leveraging AI for data management and governance.
• Strong understanding of Agentic AI, Conversational AI, Generative AI, and multi-agent architectures.
• Deep knowledge of APIs, event-driven architecture, identity protocols, canonical data models, security, and observability.
• Ability to translate business objectives into scalable technical architecture and implementation roadmaps.
• Strong stakeholder management, documentation, and executive communication skills.
• Experience in Effective Application Development Project Implementation / Deployment strategies with a customer base distributed throughout the world.
• Experience in highly parallel work environments with projects utilizing iterative, agile, and waterfall approaches to achieve their objectives.
• Experience in both business transformation and information technology projects is required.
Unique Skills
• Technical knowledge with hands-on experience, managing application development
• Strong verbal and written communications skills, with an ability to express complex technical concepts in business terms
• Strong analytical, problem-solving, and conceptual skills
• Strong interpersonal skills; ability to communicate and persuade at all management levels and thrive in a cross-functional environment
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Find JobsSenior Level AI Architect Job Market
Who's Hiring
- Boston Consulting12
- Gusto6
- Capgemini6
- NVIDIA3
- PepsiCo3
Top Industries Hiring
- Technology & Software68
- Consulting & Professional Services19
- Electronics & Hardware9
- Fintech7
- Banking & Financial Services7
Senior Level AI Architect Jobs: Frequently Asked Questions
How do I get a senior level ai architect job?
Employers hiring at this level look for candidates who have led end-to-end AI system design, not just contributed to one. Demonstrating ownership of architecture decisions, a history of shipping production-grade models, and experience mentoring engineers or guiding technical direction sets strong candidates apart. Presenting case studies where your choices measurably improved performance, scalability, or cost puts your application ahead of peers with similar titles.
Which companies hire senior level ai architects?
Companies hiring senior level ai architects right now include Boston Consulting, Gusto, and Capgemini, based on current listings on Migrate Mate as of September 2026. Hiring at this level tends to come from large technology firms, financial services organizations, healthcare systems, and consulting practices that are scaling their AI infrastructure or standing up dedicated AI centers of excellence.
Are there remote senior level ai architect jobs?
Yes, though availability varies by employer and industry. About 47% of senior level ai architect openings are remote or hybrid as of September 2026, reflecting strong demand for experienced architects who can lead distributed teams. Fully on-site roles remain common in regulated industries and for positions that require close collaboration with infrastructure or hardware teams.
What makes an ai architect role senior level?
Senior level ai architect roles are defined by scope and ownership rather than task execution. Candidates are expected to set architectural direction for AI platforms, evaluate and select foundational technologies, and take accountability for system performance in production. Mentoring junior engineers, influencing cross-team roadmaps, and driving alignment between business stakeholders and technical teams are standard expectations at this stage.
Which industries hire the most senior level ai architects?
Senior level ai architect roles concentrate in Technology & Software, Consulting & Professional Services, and Electronics & Hardware, based on current listings on Migrate Mate as of September 2026. These sectors drive the highest demand because they are building or modernizing large-scale AI infrastructure, require deep expertise to govern model risk and compliance, and compete for a limited pool of professionals with proven architecture leadership experience.